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rss_1.0 Recursos de colección

Faculty of Technology ePrints Service (36,848 recursos)
Repository of the Faculty of Technology of University of Lincoln.

["viewname_eprint_person" not defined] = ahunter@lincoln.ac.uk

Mostrando recursos 1 - 16 de 16

1. A Novel Approach to Detect the Obscured Upper Body in application to Diagnosis of Obstructive Sleep Apnea - Wang, Ching-Wei; Hunter, Andrew

2. The Detection of Abnormal Breathing Activity by Vision Analysis in application to Diagnosis of Obstructive Sleep Apnea - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew

3. Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea - Best Student Paper Award of The World Congress on Engineering 2007 - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is less well developed both from a processing and analysis viewpoint. This is due to the relative computational complexity of video processing analysis, as well as application-related technical challenges, involving night vision, the...

4. Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is less well developed both from a processing and analysis viewpoint. This is due to the relative computational complexity of video processing analysis, as well as application-related technical challenges, involving night vision, the...

5. Automatic Video Monitoring and Analysis on Human Behaviour for Diagnosis of Obstructive Sleep Apnoea- Best PhD Poster - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew

6. Vision analysis in detecting abnormal breathing activity in application to diagnosis of obstructive sleep apnoea - Wang, Ching-Wei; Ahmed, Amr; Hunter, Andrew
Recognizing abnormal breathing activity from body movement is a challenging task in machine vision. In this paper, we present a non-intrusive automatic video monitoring technique for detecting abnormal breathing activities and assisting in diagnosis of obstructive sleep apnoea. The proposed technique utilizes infrared video information and avoids imposing geometric or positional constraints on the patient. The technique also deals with fully or partially obscured patients’ body. A continuously updated breathing activity template is built for distinguishing general body movement from breathing behavior.

7. Artificial intelligent vision analysis in obstructive sleep apnoea (OSA) - Wang, Ching Wei; Ahmed, Amr; Hunter, Andrew
Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea (OSA), there are several critical drawbacks with it, including massive equipment cost, large expense on replacing damaged components and more importantly invasive devices required to be worn while patients are struggling to sleep. Furthermore, there is no proof that polymonography obtains higher accuracy in detecting patients with OSA than more simple investigations [1]. Video monitoring has been adopted to assist diagnosis on obstructive sleep apnoea. From practical researches [3], the best predictors of morbidity in individual patients, as assessed by improvements with CPAP therapy, are nocturnal oxygen saturation...

8. An intelligent reconfigurable infant monitoring system - Appiah, Kofi; Dickinson, Patrick; Hunter, Andrew
We have devised an automated visual surveillance system for monitoring sleeping infants. The system architecture requires that low-level image processing is executed on camera by an embedded signal processing unit: thus in tegrating more functionality into a single chip and realising lower product cost. The processing unit quantifies the level of scene activity using a specially designed background subtraction algorithm. In this paper we begin by describing the overall structure of our system. We proceed by present ing our algorithms, and demonstrating their effectiveness in measuring scene activity. We conclude by describing the FPGA-based low-level processing functions, and show how...

9. Body region labelling for action recognition - Dickinson, Patrick; Hunter, Andrew
We present a novel method for automatically labelling the head, torso, and legs of a human body tracked through a video sequence. An appearance-based body model is constructed by dividing the initial silhouette into a series of spatial slices, and building a colour distribution histogram for each. In subsequent frames a labelling hypothesis is constructed for each new silhouette by matching against these distributions, and used to identify each body region under a range of poses. We use the body model to extract feature points, which we use as the basis for an action recognition scheme. Actions are represented by...

10. An FPGA-based infant monitoring system - Dickinson, Patrick; Appiah, Kofi; Hunter, Andrew; Ormston, Stephen
We have designed an automated visual surveillance system for monitoring sleeping infants. The low-level image processing is implemented on an embedded Xilinx’s Virtex II XC2v6000 FPGA and quantifies the level of scene activity using a specially designed background subtraction algorithm. We present our algorithm and show how we have optimised it for this platform.

11. Scene modelling using an adaptive mixture of Gaussians in colour and space - Dickinson, Patrick; Hunter, Andrew
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to independently classify each image pixel as either foreground or background. Typically, this level of processing does not take account of the global image structure, resulting in frequent misclassification. We use an adaptive Gaussian mixture model in colour and space to represent background and foreground regions of the scene. This model is used to probabilistically classify observed pixel values, incorporating the global scene structure into pixel-level segmentation. We evaluate our system over 4 sequences and show that it successfully...

12. A ribbon of twins for extracting vessel boundaries - Al-Diri, Bashir; Hunter, Andrew
This paper presents an efficient model for automatic detection and extraction of blood vessels in ocular fundus images. The model is formed using a combination of the concept of ribbon snakes and twin snakes. On each edge, the twin concept is introduced by using two snakes, one inside and one outside the boundary. The ribbon concept integrates the pair of twins on the two vessel edges into a single ribbon. The twins maintain the consistency of the vessel width, particularly on very blurred, thin and noisy vessels. The model exhibits excellent performance in extracting the boundaries of vessels, with improved...

13. A single-chip FPGA implementation of real-time adaptive background model - Appiah, Kofi; Hunter, Andrew
This paper demonstrates the use of a single-chip FPGA for the extraction of highly accurate background models in real-time. The models are based on 24-bit RGB values and 8-bit grayscale intensity values. Three background models are presented, all using a camcorder, single FPGA chip, four blocks of RAM and a display unit. The architectures have been implemented and tested using a Panasonic NVDS60B digital video camera connected to a Celoxica RC300 Prototyping Platform with a Xilinx Virtex II XC2v6000 FPGA and 4 banks of onboard RAM. The novel FPGA architecture presented has the advantages of minimizing latency and the movement of large datasets, by conducting time critical processes on BlockRAM. The systems operate at...

14. GW4: a real-time background subtraction and maintenance algorithm for FPGA implementation - Appiah, Kofi; Hunter, Andrew; Kluge, Tino
GW4 is a real-time video segmentation algorithm for detecting moving objects in indoor and outdoor scenes. The platform for the final implementation is Field Programmable Gate Array (FPGA); a reconfigurable computing platform. The algorithm detects moving foreground objects against a multimodal background; it is motivated by two well-known adaptive background differencing algorithms: Grimson's algorithm and W4. The implementation is based on a single stationary camera transmitting RGB values at 25Hz. Background modelling at pixel level has been used in many applications, but may fail due to camouflage and foreground aperture problems. These common problems have been reduced in our approach...

15. GW4: An FPGA-driven image segmentation algorithm - Appiah, Kofi; Hunter, Andrew; Kluge, Tino
We describe “GW4,” an efficient video segmentation algorithm designed for FPGA implementation. The algorithm detects moving foreground objects against a multimodal background; it is motivated by two well-known adaptive background differencing algorithms, Grimson's algorithm and W4. GW4 is designed specifically for implementation on reconfigurable FPGA hardware, avoiding the use of floating point numbers and transcendental operations, and operates at real-time frame rates on 640x480 video streams. We present experimental results indicating processing speeds, and superior segmentation performance to Grimson's algorithm.

16. Digital signal processing: the impact of convergence on education, society and design flow - Appiah, Kofi; Andrew, Hunter
Design and development of real-time, memory and processor hungry digital signal processing systems has for decades been accomplished on general-purpose microprocessors. Increasing needs for high-performance DSP systems made these microprocessors unattractive for such implementations. Various attempts to improve the performance of these systems resulted in the use of dedicated digital signal processing devices like DSP processors and the former heavyweight champion of electronics design – Application Specific Integrated Circuits. The advent of RAM-based Field Programmable Gate Arrays has changed the DSP design flow. Software algorithmic designers can now take their DSP algorithms right from inception to hardware implementation, thanks to...

 

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